兼顾地形形态与特征的非航海TIN-DDM自动综合算法

Non-navigational TIN-DDM automatic generalization algorithm considering topographic forms and terrain features

针对当前非航海TIN-DDM自动综合算法无法充分顾及海底地形形态识别的准确性及海底地形特征维护的充分性等问题,本文在分析TIN-DDM滚动球变换概念的基础上,将地形形态识别范围的概念引入TIN-DDM采样点地形类型与滚动球半径的关联模型,通过微观(宏观)尺度下采样点地形类型的定量识别及量化评估,提出了一种兼顾地形形态与特征维护的非航海TIN-DDM自动综合算法。首先,将局部Delaunay影响域应用于采样点地形形态识别的范围约束,建立了面向微观地形的地形类型与滚动球半径关联模型;然后,通过分析临界滚动球半径数值变化规律对采样点进行了宏观尺度上的地形类型划分,建立了面向宏观地形的地形类型与临界滚动球半径的关联模型;最后,以临界滚动球半径为关联纽带,论证了采样点地形类型判定与地形形态连续尺度表达的相关性,设计了面向海底地形形态识别的采样点地形特征定量评价指标,建立了依采样点评价指标的TIN-DDM自动综合模型。试验结果表明:该算法能够在识别海底地形形态的基础上有效维护海底地形特征。

Aiming at the problems of the current non-navigational TIN-DDM automatic generalization algorithm cannot fully take into account the accuracy of seabed topographic forms recognition and the adequacy of seabed terrain features maintenance, based on the analysis of the concept of TIN-DDM rolling ball transformation, this paper introduces the concept of topographic forms recognition range into the correlation model of TIN-DDM point topographic type and rolling ball radius, and through the micro(macro) scale of TIN-DDM point topography quantitative identification and evaluation, and a non-navigational TIN-DDM automatic generalization algorithm considering topographic forms and features is proposed. First, apply the local Delaunay influence domain to the range constraints of TIN-DDM point topographic forms recognition, and establish an association model of topographic forms and rolling ball radius for micro-topography;Then, the sampling points are classified into the type of topography on a macro scale by analyzing the numerical change law of the critical rolling ball radius, and the correlation model between the topographic forms and the critical rolling ball radius for the macro-topography is established. Finally, using the critical rolling ball radius as the link, the correlation between the topographic type determination of TIN-DDM points and the continuous expression of topographic forms is demonstrated, and a quantitative evaluation index for seabed terrain features of TIN-DDM points is designed for submarine topographic forms recognition, and a TIN-DDM automatic generalization model based on TIN-DDM points to evaluation index is established. The experimental results show that the algorithm can effectively maintain the features of the seabed terrain on the basis of identifying topographic forms.